TCBP Announces Artificial Intelligence Initiative with Partner Carnegie Mellon University for Donor Screening

In This Article:

  • TC BioPharm Limited is partnering with Dr. Wei Wu of Carnegie Mellon University to create an artificial intelligence solution to optimize the donor screening and matching process

  • The software could have additional applications across cell therapy for donor/patient matching

EDINBURGH, Scotland, Oct. 3, 2024 /PRNewswire/ -- TC BioPharm (Holdings) PLC ("TC BioPharm" or the "Company") (NASDAQ: TCBP), a clinical-stage biotechnology company developing platform allogeneic gamma-delta T cell therapies for cancer and other indications, today announced it has entered into a sponsored research agreement with Carnegie Mellon University to explore the potential use of artificial intelligence to optimize the patient screening process.

The Company will partner with Dr. Wei Wu, a faculty member in the Ray and Stephanie Lane Computational Biology Department within the School of Computer Science at the renowned university, and her lab to leverage AI to build a solution that enhances the donor selection process and matching process. Dr. Wu's research focuses on understanding complex human diseases through integrative approaches, combining biology, computational and statistical learning, bioinformatics, and genomics. The applications for advanced and accurate donor screening and potential donor/patient matching extend from increased manufacturing yields, better production processes, and enhanced patient outcomes among many other benefits. The amount of variability between donors, similar patients, and the volume of donors and patients across diseases represents a "big data problem" which is ideal for applying Artificial Intelligence for a better understanding and potential solution.

"TC BioPharm is pleased to partner with Carnegie Mellon University as we continue to research cutting-edge solutions for the advancement of the cell therapy industry," stated Bryan Kobel, CEO of TC BioPharm. "Dr. Wu and her laboratory are helping us tackle another 'big problem' with this endeavor, which has the potential to revolutionize both the donor selection and matching processes. An issue the cell therapy industry faces as a whole is donor variability as well as how to more accurately predict outcomes and responses between donors and patients. Finding a solution for how to select the best donors for allogeneic cell therapies to generate the best product, and also how to match the best cell therapy and donor to the best patient beyond the current HLA matching process, represents a massive opportunity from a market perspective and also would have far-reaching applications for CDMOs and other industry players. Bringing in Dr. Wu for this 'big data problem' is the first step. She and Carnegie Mellon University are at the forefront of the AI industry, and it's an honor to work with her and the esteemed university. Artificial intelligence has the potential to deliver significant breakthroughs in the worlds of medicine and science, and we are excited to embrace its possibilities."